Refine
Document Type
- Working Paper (6)
- Report (2)
Language
- English (8)
Has Fulltext
- yes (8)
Keywords
- Optimization (3)
- Benchmarking (2)
- Modeling (2)
- Optimierung (2)
- Simulation (2)
- Soft Computing (2)
- Artificial intelligence (1)
- Bayesian Learning (1)
- Big Data (1)
- Big data platform (1)
This survey compiles ideas and recommendations from more than a dozen researchers with different backgrounds and from different institutes around the world. Promoting best practice in benchmarking is its main goal. The article discusses eight essential topics in benchmarking: clearly stated goals, well- specified problems, suitable algorithms, adequate performance measures, thoughtful analysis, effective and efficient designs, comprehensible presentations, and guaranteed reproducibility. The final goal is to provide well-accepted guidelines (rules) that might be useful for authors and reviewers. As benchmarking in optimization is an active and evolving field of research this manuscript is meant to co-evolve over time by means of periodic updates.